[1]. Amini Fosookhi, A., & Noori, S.H. (2011). sustainable evaluate and agricultural systems cultivation models determine according to exploitation optimal of water and soil sources by using of non-linear models of mathematical programming. Journal of Agricultural and Natural Sources Science, 15(54): 99-109 )in Farsi).
[2]. Bakhshudeh, M., & Baghestani, M. (2010). Water resources sustainable and optimal cultivation pattern in Iran; application of fractional programming. Journal of Economical Science, 1(4): 57-70, )in Farsi).
[3]. Barim Nezhad, V., & Yazdani, S. (2005). Stability analysis in water resource management in agricultural sector by Using of fractional programming; Case study: Kerman province, 63: 2-16 )in Farsi).
[4]. Chakraborty, M., & Gupta, S., (2002). Fuzzy mathematical programming for multi-objective linear fractional programming problem. Fuzzy Sets and Systems, 125: 335-342.
[5]. Daneshvar, M., SHahnoushi, N., Salehi, R., & Abadi, F. (2009). The determination of optimal crop pattern with aim of reduction in hazards of environmental. American Journal of Agricultural and Biological Sciences, 4 (4): 305- 310.
[6]. Duran Toksari, M. (2008). Taylor series approach to fuzzy multi-objective linear, fractional programming. Information Sciences, 17(8):1189-1204.
[7]. Dutta, D., Tiwari, R.N., & Rao J. R, (1992). Multiple objective linear fractional programming, a fuzzy set theoretic approach. Fuzzy Sets and Systems, 52: 39–45.
[8]. Dutta, D., Tiwari, R.N., & Rao J.R., (1993). Fuzzy approaches for multiple criteria linear fractional optimization: a comment, Fuzzy Sets and Systems, 54: 347–349.
[9]. Hitosi, M.S., & Takahashi, Y.J., (1992). Pareto optimality for multi-objective linear fractional programming problems with fuzzy parameters. Information Sciences, 63: 33–53.
[10]. Hosseinzad, J., Namvar, A., Hayati, B., & Pishbahar, E. (2014). Determination of Crop Pattern with Emphasis on Sustainable Agriculture in the Lands Below the Alavian Dam and its Network. Journal of Agricultural Science and Sustainable Production, 24(2): 41-54) in Farsi).
[11]. Hu, Y., Moiwo, J.P., Yang, Y., Han, Sh., & Yang, Y. (2010). Agricultural water-saving and sustainable groundwater management in Shijiazhuang Irrigation District, North China Plain. Journal of Hydrology, 393: 219-232.
[12]. Kohansal, M.R., & Firooz Zarea, A. (2008). Determining optimal cultivation model corresponding with organic agriculture Application of Multiple-objective Linear Fuzzy Fractional Programming, Case study: North Khorasan province. Journal of Agricultural and Economic Development, 62(16): 1-13) in Farsi).
[13]. Luhanjula, M.K. (1984). Fuzzy approaches for multiple objective linear fractional optimizations. Fuzzy Sets and Systems, 13: 11-23.
[14]. Lundberg M., & Rich, K. (2002). Multimarket models and policy analysis: An application to Madagascar,Washington, DC: World Bank (Processed).
[15]. Majidi, N., Alizadeh, A., & Ghorbani, M., (2011). Determining the Optimum Cropping Pattern In Same Direction With Water Resources Management Of Mashhad-Chenaran Plain. Journal of Water and Soil, 25(4): 776-785 )in Farsi).
[16]. Meteorological Organization of Kerman province, (2016).
[17]. Nykowski, Z., & Zolkiski, A. (1985). compromise procedure for the multiple objective linear fractional programming problem. Operational Research, 19: 91–97.
[18]. Pal, B.B., Moitra, B.N., & Maulik, U. (2003). A goal programming procedure for fuzzy multi-objective linear fractional programming problem. Fuzzy Sets and Systems, 139: 395–405.
[19]. Sabouhi Saboni, M. (2013). Application programming in agricultural economics with an emphasis on using Excel software, Noore Elm of Tehran Publishers, Zabol Universit) in Farsi).
[20]. Zamani, O., Sabouhi Saboni, M., & Nader, H. (2011). Determining Cropping Pattern Corresponding Sustainable Agriculture by Using Multi-objective Fuzzy Fractional programming: Case study of Piranshahar City. Journal of Agricultural Science and Sustainable Production, 20(4): 101-112 )in Farsi).
[21]. Zimmermann, H.J., & Zysno, P. (1980). Latent connectives in human decision making. Fuzzy Sets and Systems, 4: 37-51.